플러그인

Layerz

Layerz · layerz.cc

ChatGPT

Layerz is a structured spreadsheet for financial models, built to be driven by an AI assistant. Every line of a model is a named variable with its formula, its timeline and its dependencies, so the assistant can change an assumption and every downstream figure recomputes, instead of rewriting a sheet by hand.

How to install Layerz in ChatGPT

  1. Open the official listing for Layerz in the ChatGPT workspace you want to use.
  2. Choose Install plugin if available. Follow any connection steps for the apps listed on the page.
  3. Open a new conversation on a supported ChatGPT surface. Select Layerz from the plugin options or mention it by name.
Official ChatGPT setup guide

How to use Layerz

Check the marketplace listing or publisher’s documentation for supported actions and examples.

순위 기록

수집 날짜별로 ChatGPT 공개 플러그인 디렉터리의 표시 순서를 확인하세요. Popular는 공식 추천 목록입니다. 설치 및 사용 횟수는 공개되지 않습니다.

– 순위 #460
수집된 순위 (3)
수집된 순위
수집 날짜분류순위
Finance#460
Finance#463
Finance#463

Frequently asked questions

Why is Install plugin missing?

Check your account, workspace, plan and region. If the listing says Desktop only, open it in the ChatGPT desktop app.

개요

With Layerz in ChatGPT or Codex you can: Each model carries a FINANCE.md file (currency, units, sign conventions, statement structure) that the assistant reads first, so the context persists from one conversation to the next. The plugin also ships five skills that guide the assistant through common jobs: a first session, a business plan, a monthly close, scenarios and cash, and reviewing and fixing a model. Who it is for: finance professionals, founders and advisors who build business plans, budgets, forecasts and deal models. Limitations: Layerz does not move money, place trades or give investment advice. It only reads and edits the models of the signed-in Layerz account. Bank and accounting connections, when the user sets them up in Layerz, are read-only imports of actuals.

기능

  • Read financial models
  • Edit assumptions and formulas
  • Build models from templates
  • Compare scenarios
  • Import actuals
  • Export to Excel